class_docstr: Linear layer with BatchNormalization.
code: def __init__(self, in_size, out_size):
      super().__init__()
      self.linear = nn.Linear(in_size, out_size)
      self.bn = nn.BatchNorm1d(out_size)
  
file_path: pfrl/pfrl/nn/mlp_bn.py
imports: import torch.nn
  import torch.nn.functional
  from pfrl.initializers import init_lecun_normal
label_desc: Use image node_id 1 to create a new LinearBN object from inherited base classes: nn with example: obj = LinearBN(in_size, out_size)